Rasch analysis and ordinal-to-interval conversion tables for the Depression, Anxiety and Stress Scale.

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dc.contributor.author Medvedev, Oleg en
dc.contributor.author Krägeloh, Christian U en
dc.contributor.author Titkova, Elena A en
dc.contributor.author Siegert, Richard J en
dc.date.accessioned 2018-10-17T01:40:06Z en
dc.date.issued 2018-01 en
dc.identifier.issn 1359-1053 en
dc.identifier.uri http://hdl.handle.net/2292/42403 en
dc.description.abstract This study conducted Rasch analysis of the Depression, Anxiety and Stress Scale using responses of 400 participants to produce ordinal-to-interval conversion algorithms not available to date. Minor modifications such as removing the non-fitting item 5 and combining subscales items into super-items were necessary to achieve the best model fit ( χ2(15) = 20.28, p = 0.16). The results support internal validity of the modified 20-item Depression, Anxiety and Stress Scale and include ordinal-to-interval conversion tables for use with non-clinical populations that improve reliability and precision of the measure. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Journal of health psychology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Rasch analysis and ordinal-to-interval conversion tables for the Depression, Anxiety and Stress Scale. en
dc.type Journal Article en
dc.identifier.doi 10.1177/1359105318755261 en
pubs.begin-page 1359105318755261 en
dc.rights.holder Copyright: The author en
dc.identifier.pmid 29402132 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Journal Article en
pubs.elements-id 723716 en
dc.identifier.eissn 1461-7277 en
pubs.record-created-at-source-date 2018-02-07 en
pubs.dimensions-id 29402132 en


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